NEW YORK, June 29, 2026: Corporate borrowing tied to artificial intelligence shows no sign of slowing. Bankers are now inventing new ways to sell ever larger volumes of debt, Reuters reported. The surge in spending on chips, cloud infrastructure and data centers has pushed hyperscalers to issue bonds in currencies far beyond the U.S. dollar. The goal is simple: reach more investors before the dollar market fills up.
- Inside the AI Debt Market: Why Banks Are Getting Creative
- The Record Setting Bond Deals Reshaping Global Credit Markets
- Why Capital Needs Are Pushing Hyperscalers Beyond the Dollar
- The Rise of Data Center Lease Backed Debt
- What the Spread Widening Is Telling Credit Investors
- The Private Credit Shadow Market Absorbing AI Risk
- What History’s Telecom Debt Bust Teaches Today’s Investors
- The Risks That Could Still Derail the AI Debt Boom
- The Analytical Closing: What the AI Debt Boom Tests for Investors
- Frequently Asked Questions (FAQs)
For professionals tracking market and economic business news in the US, the AI debt market is now the clearest live test of how much leverage the global financial system can absorb before pricing power starts to shift. Every claim in this analysis is rooted exclusively in official data, on the record statements from named officials, or named, credible news and research outlets. We do not rely on rumors, anonymous chatter, or unverified social media commentary.
Instead, we examine only what Reuters, the Federal Reserve Bank of Chicago, the Bank for International Settlements, Morgan Stanley, Barclays, BNP Paribas, Moody’s Analytics, M&G Investments, Oliver Wyman, CNBC, PYMNTS, Fortune, and other named sources have officially reported or published.
Inside the AI Debt Market: Why Banks Are Getting Creative
Bankers are structuring new bond formats to keep pace with hyperscaler borrowing, Reuters reported, citing interviews with senior debt market executives. The shift is not happening because demand is weak.
It is happening because the supply of AI linked debt has grown so large that a single currency and a single investor base can no longer absorb it comfortably.
Amazon.com and Alphabet alone have issued $60 billion in bonds across multiple currencies in the past 12 months, according to Reuters. That is one borrower group, in one year, spanning markets on three continents.
Teddy Hodgson, global co-head of investment grade debt at Morgan Stanley, told Reuters that Alphabet and Amazon have diversified into other global markets in Europe, Canada and Asia. Both companies, he said, are no longer dollar only borrowers by default.
The Record Setting Bond Deals Reshaping Global Credit Markets
The numbers behind this shift are not small. Amazon raised €14.5 billion, or about $16.56 billion, in March through an eight part bond sale, Reuters reported.
That deal stands as the largest transaction ever recorded in the euro corporate bond market, according to LSEG data cited by Reuters.
Alphabet went further still. The company set new borrowing records in yen, Canadian dollars, Swiss francs and sterling, Reuters reported, again citing LSEG.
Alphabet also sold the first 100 year bond issued by a technology company since 1997, according to Reuters. A century long borrowing horizon from a software company is, by any historical measure, an unusual market event.
These are not routine treasury transactions. They are benchmark setting deals that reshape how global fixed income desks price technology credit risk for years to come.
Why Capital Needs Are Pushing Hyperscalers Beyond the Dollar
The scale of the underlying need explains the urgency. Hyperscaler capital expenditure is estimated at roughly $725 billion this year, according to BNP Paribas figures cited by Reuters.
That is nearly double the level seen in mid 2025. Spending, Reuters reported, is rising faster than operating cash flow.
When spending outruns cash flow at this pace, debt becomes the bridge. Equity issuance is part of the picture too, and Hodgson told Reuters that investors are actively asking how much more debt these companies will need if they keep tapping equity markets as well.
Bankers themselves expect the pressure to keep building. Hodgson told Reuters that AI related debt could push total U.S. investment grade issuance above $2 trillion for the first time in 2026.
Hyperscaler investment grade deals have already surpassed their full 2025 total, Reuters reported, and are on pace to reach BNP Paribas’ $250 billion forecast for the year.
The Rise of Data Center Lease Backed Debt
A second, quieter shift is unfolding in structured finance. Bankers are increasingly building bond deals around pre-arranged data center leases, sometimes signed before construction even begins, Reuters reported.
The structure gives bondholders earlier visibility into future cash flows from borrowers that are far riskier than the hyperscalers themselves.
The clearest example is an $810 million note issued this month by Stingray Compute, a company owned by Cipher Digital. The offering was nine times oversubscribed, Cody Gunsch, head of North America leveraged finance capital markets at Morgan Stanley, told Reuters.
The notes are backed by a data center lease to Amazon. Gunsch told Reuters that this type of structure, modeled on construction loan financing, first appeared roughly a year ago.
Around 15 similar deals have since been placed with high yield investors, according to Gunsch’s comments to Reuters. That is a fast pace for a financing structure barely a year old.
Amazon told Reuters it regularly evaluates its operating plan and makes financing decisions, including bond issuance across currencies, accordingly. Alphabet pointed Reuters to a statement from Chief Financial Officer Anat Ashkenazi, who said the company has accumulated $100 billion in outstanding debt across six major currencies.
Alphabet also referred Reuters to comments from Chief Executive Sundar Pichai about funding investments through a mix of cash flow, debt and equity.
What the Spread Widening Is Telling Credit Investors
For now, demand is absorbing the supply. Victoria Fernandez, chief market strategist and fixed income portfolio manager at Crossmark Global Investments, told Reuters that these are high quality rated bonds, there is high appetite for them.
But Fernandez also flagged a conditional warning to Reuters. If companies keep returning to the bond market over and over again, she said, it starts to become a concern.
Scott Schulte, global co-head of investment grade debt syndicate at Barclays, told Reuters that the percentage of recent AI related debt to total issuance is high. He added, separately, that the share remains low relative to the broader investment grade credit universe.
Independent data backs both readings at once. AI related debt in the U.S. has climbed to approximately 15% of total investment grade issuance, according to Barclays data cited by Reuters.
A separate estimate from JPMorgan, published in March by asset manager M&G Investments, put total AI linked debt outstanding at $1.2 trillion as of October 2025. That made AI the largest single sector in JPMorgan’s U.S. Liquid Index, ahead of banks, at roughly 14% of the high grade market.
Pricing is starting to move too. Spreads on investment grade bonds from major AI issuers have widened by as much as 40 basis points relative to the broader investment grade index since last September, according to analysis published by global consultancy Oliver Wyman.
That is a modest move in absolute terms. It is also one of the first hard signals that some credit investors are demanding extra compensation for AI linked exposure.
Jeff Given, head of developed market fixed income at Manulife Investment Management, told Reuters that hyperscalers are still ramping up long term AI projects. As long as hyperscalers and data centers continue to be willing to spend more, he said, demand is going to be there.
Bank of America analysts offered a more reassuring read on capacity, in a note reported by Fortune. Operating cash flow across the five largest hyperscalers is projected to reach $577 billion this year, up from $378 billion in 2023, while their combined debt is expected to rise from $356 billion to $433 billion over the same period.
That combination would actually lower their debt to cash flow ratio, from 0.94 to 0.75, according to the BofA note cited by Fortune. One notable exception stands out: Oracle, which BofA said will run negative free cash flow until 2029 and therefore has far less room to keep adding debt than its peers.
The Private Credit Shadow Market Absorbing AI Risk
Banks and public bond markets are not the only financiers of this buildout. Private credit funds, including Blackstone, Blue Owl Capital, Apollo and Pimco, have become central lenders to data center developers, according to reporting by American Banker and PYMNTS.
Outstanding private credit loans to AI related companies have surged from near zero to more than $200 billion in just a few years, PYMNTS reported. One estimate from investment firm Carlyle, cited by PYMNTS, put the long run private credit opportunity in AI infrastructure as high as $1.8 trillion by the end of the decade.
Insurance markets are feeling the pressure of this growth too. CNBC reported in April that insurers underwriting data center loans are starting to hit capacity limits as deal volume rises.
Alex Wolfson, senior vice president of credit specialties at Marsh, told CNBC that private credit can meaningfully complement banks and support non hyperscale contracted offtakes. He added that Marsh is actively working on new solutions to support lenders as volumes climb.
The Bank for International Settlements, in its Quarterly Review, described many of these arrangements as a form of shadow borrowing. These are obligations that function economically like debt but sit largely outside corporate balance sheets, the BIS said.
Banks support these vehicles through funding lines, the BIS noted, which creates new channels through which financial stress could spread if conditions turn.
What History’s Telecom Debt Bust Teaches Today’s Investors
This is not the first time a single technology buildout has driven a borrowing wave of this size. The telecom and fiber optic boom of the late 1990s offers the closest historical parallel.
Telecommunications companies laid more than 80 million miles of fiber optic cable across the United States in the years before the dot com crash, Fortune reported. Much of that capacity sat unused for years after it was built.
Two of the era’s most aggressive borrowers, WorldCom and Global Crossing, later filed for bankruptcy in proceedings that ranked among the largest in U.S. corporate history, according to legal scholarship published in the Journal on Telecommunications and High Technology Law.
Today’s borrowing wave looks different in scale and composition. Tech companies issued a record $108.7 billion in bonds in the fourth quarter of 2025 alone, according to Moody’s Analytics figures reported by Fortune, capping a full year total of nearly $300 billion.
Separately, five of the largest hyperscalers issued $121 billion in U.S. corporate bonds in 2025, M&G Investments reported, citing Bloomberg data. That compares with an average of just $28 billion per year between 2020 and 2024.
Alphabet Chief Executive Sundar Pichai has himself drawn the historical comparison. In a November 2025 interview with the BBC, Pichai said there are elements of irrationality in the current AI investment cycle, while comparing it directly to the dot com era.
He also told the BBC that no company would be immune, including Alphabet, if an AI investment bubble were to burst.
The structural difference most analysts point to is concentration. In the fiber optic era, hundreds of overleveraged telecom upstarts borrowed under speculative growth assumptions.
Today, a small number of mega cap firms with large, diversified cash flows are driving most of the borrowing. That does not remove the risk. It does change its shape.
The Risks That Could Still Derail the AI Debt Boom
Saturation risk sits at the top of the list. Bankers themselves believe AI related issuance could push total U.S. investment grade volume above $2 trillion for the first time in 2026, Reuters reported, citing Morgan Stanley’s Hodgson.
Credit rating composition is the second risk. The Federal Reserve Bank of Chicago, in a published analysis, found that large banks’ committed exposure to AI adjacent industries averages roughly 25% of Tier 1 capital, even though direct outstanding exposure sits at a far smaller 0.8% of total bank assets.
The same Chicago Fed analysis warned that banks likely carry additional, less visible exposure through lending to nonbank financial institutions that originate much of the underlying AI and data center debt.
Off balance sheet opacity is the third risk. The BIS Quarterly Review described many AI financing vehicles as economically equivalent to debt without appearing as debt on a corporate balance sheet, making total system exposure harder to measure in real time.
Spread behavior is the fourth, and the most immediate for active credit investors. Oliver Wyman’s analysis found spreads on AI linked investment grade bonds have already widened by up to 40 basis points since last September, even as headline demand stays strong.
Sentiment among institutional investors is the fifth. A Bank of America survey, cited in the Chicago Fed’s published analysis, found 45% of institutional respondents named an AI bubble as their single biggest tail risk.
The Analytical Closing: What the AI Debt Boom Tests for Investors
Strip away the bond deal headlines, and this is a test of how much leverage the global financial system can absorb before pricing power shifts from borrower to lender. Three things should anchor how professional readers price it going forward.
First, this is a capital allocation event before it is a corporate finance event. Hyperscalers are matching long lived infrastructure assets with long dated debt at a pace that is reshaping benchmark bond indices in real time, not simply refinancing existing obligations.
Second, the credit markets have not yet repriced for concentration risk in the way equity markets are already debating valuation risk. Spreads have widened by only 40 basis points so far, a modest move that leaves room for a sharper repricing if issuance keeps accelerating at its current pace.
Third, the risk is migrating to where it is hardest to see. Banks’ direct exposure remains small at under 1% of total assets, but private credit funds, insurers and off balance sheet vehicles are absorbing a fast growing share of the same underlying risk, exactly the kind of indirect channel the BIS has flagged as a transmission mechanism worth watching.
For investors with exposure to investment grade technology credit, private credit funds, or insurers underwriting data center risk, the next two to three quarters matter more than this week’s bond pricing. Whether investment grade AI issuance actually clears $2 trillion in 2026, whether spreads widen meaningfully beyond 40 basis points, and whether private credit funds continue expanding capacity at their current rate will do the real work of setting the trajectory.
They will decide whether this becomes the financing engine behind a durable infrastructure buildout, or the early plumbing strain before the kind of correction the telecom sector experienced a generation ago.
Frequently Asked Questions (FAQs)
What is the AI debt market and why is it growing so fast in 2026?
The AI debt market refers to the bonds and loans hyperscalers and data center operators use to fund AI infrastructure. It is growing fast because hyperscaler capital expenditure, estimated at roughly $725 billion this year by BNP Paribas, is rising faster than operating cash flow, forcing companies to borrow at record scale, Reuters reported.
How much AI related debt is currently outstanding?
Total AI linked debt outstanding reached $1.2 trillion as of October 2025, according to JPMorgan data cited by M&G Investments, making AI the largest single sector in JPMorgan’s U.S. Liquid Index. AI related debt also makes up approximately 15% of total U.S. investment grade issuance, according to Barclays data cited by Reuters.
Why are companies like Amazon and Alphabet issuing bonds in foreign currencies instead of dollars?
Reuters reported that hyperscalers are diversifying into euro, yen, sterling, Canadian dollar and Swiss franc markets to reach a wider investor base and avoid saturating dollar demand. Amazon’s €14.5 billion March bond sale was the largest ever in the euro corporate bond market, according to LSEG data cited by Reuters.
Is the AI debt boom similar to the dot com era telecom bubble?
There are partial parallels. Telecom companies laid more than 80 million miles of fiber optic cable in the late 1990s, much of which sat unused for years, Fortune reported, and major borrowers like WorldCom and Global Crossing later filed for some of the largest bankruptcies in U.S. history. Today’s AI debt is concentrated among far fewer, larger and more cash generative borrowers, a structural difference Alphabet CEO Sundar Pichai acknowledged even as he warned of “elements of irrationality” in a November 2025 BBC interview.
Could rising AI debt trigger a wider credit market problem?
Direct bank exposure to AI adjacent industries remains low, at roughly 0.8% of total bank assets, according to the Federal Reserve Bank of Chicago. The bigger risk flagged by the Bank for International Settlements and the Chicago Fed is indirect exposure through private credit funds, insurers and off balance sheet financing vehicles, where AI related risk is growing fastest and is hardest to measure.
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Isabella is a global business journalist and former McKinsey analyst from Brazil. She brings sharp insights on economic shifts, policies, and founder journeys from around the world.
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